UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation

Taeyeop Lee, Byeong-uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In-So Kweon, Kuk-Jin Yoon. UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. pages 14871-14880, IEEE, 2022. [doi]

@inproceedings{LeeLSCSKY22,
  title = {UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation},
  author = {Taeyeop Lee and Byeong-uk Lee and Inkyu Shin and Jaesung Choe and Ukcheol Shin and In-So Kweon and Kuk-Jin Yoon},
  year = {2022},
  doi = {10.1109/CVPR52688.2022.01447},
  url = {https://doi.org/10.1109/CVPR52688.2022.01447},
  researchr = {https://researchr.org/publication/LeeLSCSKY22},
  cites = {0},
  citedby = {0},
  pages = {14871-14880},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6946-3},
}